TL;DR Fuzzing JavaScript is easy now In this post, we introduce you to our new open-source fuzzer for the JavaScript ecosystem, Jazzer.js. Jazzer.js is a coverage-guided, in-process fuzzer for the Node.js platform. It’s based on the experience we gathered developing its namesake Jazzer, our fuzzer for the JVM platform. Internally, Jazzer.js uses libFuzzer as a solid industry-standard engine and brings many of its instrumentation-powered mutation features to JavaScript.

All app development companies are aware of the importance of mobile application security testing. Despite this, the app stores are full of potentially vulnerable apps. One of the reasons for this is the myths surrounding the mobile application security testing concept - how it might be complicated or expensive to get security. However, this blog will dispel these myths and present a true picture of mobile application security testing.

To keep up with the ever-evolving cyber threat landscape, application security is a big challenge. Unfortunately, security is often overlooked in the modern software development and delivery framework and assumed as a luxury. Rather than taking a proactive approach, security is incorporated as a reactive approach that increases costs and makes the company suffer losses.

Static Application Security Testing (SAST) is one of the principal techniques for assessing the source code of applications to detect possible vulnerabilities. SAST enhances application security during the early stages of the development life cycle and plays an important role in shifting security left. However, there are quite a few myths that are often associated with implementing SAST security tools. Let’s run through the big three.

SAST is one of the matured security testing methods. In the SAST, the source code is examined from the inside out while components are in a static position. It performs scanning in-house code and design to identify flaws that are reflective of weaknesses, and that could invite security vulnerabilities. The scans performed by SAST tools are dependent upon prior identification of rules that specify coding errors to examine and address.

Organizations that develop mobile apps need to be aware of the potential cyber security threats. These threats can lead to the loss of users' private data, which can have serious repercussions for industries like fintech, healthcare, ecommerce, etc. In order to prevent these malicious practices, Dynamic Application Security Testing (DAST), a security testing tool, has been introduced. It helps to weed out specific vulnerabilities in web applications whenever they run in the production phase.

As we celebrate the first anniversary of Rapid Scan Static, we look back at the growth of our new SAST engine. In June 2021, Synopsys officially released Rapid Scan Static, a feature of Code Sight™ SE and Coverity® by Synopsys and powered by the Sigma scan engine. Rapid Scan Static reduces the noise and friction for developers by providing fast results that enable them to take action earlier in the software development life cycle (SDLC).

The acquisition of WhiteHat Security, the leading the DAST solution provider, is a step toward a more comprehensive, end-to-end portfolio for AppSec. Today, Synopsys closed the acquisition of WhiteHat Security, an application security pioneer and market-segment leading provider of dynamic application security testing (DAST) solutions.

Golang was the first programming language to support fuzzing as a first-class experience in version 1.18. This made it really easy for developers to write fuzz tests. Golang 1.14 introduced native compiler instrumentation for libFuzzer, which enables the use of libFuzzer to fuzz Go code. libFuzzer is one of the most advanced and widely used fuzzing engines and provides the most effective method for Golang Fuzzing.